Overview
Brought to you by YData
Dataset statistics
| Number of variables | 15 |
|---|---|
| Number of observations | 10000 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 1.1 MiB |
| Average record size in memory | 120.0 B |
Variable types
| Numeric | 11 |
|---|---|
| Categorical | 4 |
Country is highly overall correlated with Region | High correlation |
Crop_Yield_MT_per_HA is highly overall correlated with Economic_Impact_Million_USD | High correlation |
Economic_Impact_Million_USD is highly overall correlated with Crop_Yield_MT_per_HA | High correlation |
Region is highly overall correlated with Country | High correlation |
Extreme_Weather_Events has 899 (9.0%) zeros | Zeros |
Reproduction
| Analysis started | 2024-10-19 18:25:50.481889 |
|---|---|
| Analysis finished | 2024-10-19 18:26:33.486987 |
| Duration | 43.01 seconds |
| Software version | ydata-profiling v0.0.dev0 |
| Download configuration | config.json |
Variables
Year
Real number (ℝ)
| Distinct | 35 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2007.0887 |
| Minimum | 1990 |
|---|---|
| Maximum | 2024 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.2 KiB |
Quantile statistics
| Minimum | 1990 |
|---|---|
| 5-th percentile | 1991 |
| Q1 | 1999 |
| median | 2007 |
| Q3 | 2016 |
| 95-th percentile | 2023 |
| Maximum | 2024 |
| Range | 34 |
| Interquartile range (IQR) | 17 |
Descriptive statistics
| Standard deviation | 10.084245 |
|---|---|
| Coefficient of variation (CV) | 0.0050243147 |
| Kurtosis | -1.2069501 |
| Mean | 2007.0887 |
| Median Absolute Deviation (MAD) | 9 |
| Skewness | -0.0067932823 |
| Sum | 20070887 |
| Variance | 101.692 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=35)
| Value | Count | Frequency (%) |
| 1999 | 335 | 3.4% |
| 2019 | 317 | 3.2% |
| 1991 | 314 | 3.1% |
| 2012 | 313 | 3.1% |
| 2004 | 307 | 3.1% |
| 2013 | 305 | 3.0% |
| 1994 | 305 | 3.0% |
| 2001 | 300 | 3.0% |
| 1996 | 295 | 2.9% |
| 2023 | 294 | 2.9% |
| Other values (25) | 6915 |
| Value | Count | Frequency (%) |
| 1990 | 250 | |
| 1991 | 314 | |
| 1992 | 274 | |
| 1993 | 257 | |
| 1994 | 305 | |
| 1995 | 277 | |
| 1996 | 295 | |
| 1997 | 287 | |
| 1998 | 239 | |
| 1999 | 335 |
| Value | Count | Frequency (%) |
| 2024 | 281 | |
| 2023 | 294 | |
| 2022 | 288 | |
| 2021 | 292 | |
| 2020 | 278 | |
| 2019 | 317 | |
| 2018 | 272 | |
| 2017 | 275 | |
| 2016 | 293 | |
| 2015 | 294 |
Country
Categorical
High correlation
| Distinct | 10 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 78.2 KiB |
| USA | |
|---|---|
| Australia | |
| China | |
| Nigeria | |
| India | |
| Other values (5) |
Length
| Max length | 9 |
|---|---|
| Median length | 7 |
| Mean length | 6.1925 |
| Min length | 3 |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | India |
|---|---|
| 2nd row | China |
| 3rd row | France |
| 4th row | Canada |
| 5th row | India |
Common Values
| Value | Count | Frequency (%) |
| USA | 1032 | |
| Australia | 1032 | |
| China | 1031 | |
| Nigeria | 1029 | |
| India | 1025 | |
| Canada | 984 | |
| Argentina | 984 | |
| France | 978 | |
| Russia | 961 | |
| Brazil | 944 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| usa | 1032 | |
| australia | 1032 | |
| china | 1031 | |
| nigeria | 1029 | |
| india | 1025 | |
| canada | 984 | |
| argentina | 984 | |
| france | 978 | |
| russia | 961 | |
| brazil | 944 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 11968 | |
| i | 8035 | |
| n | 5986 | 9.7% |
| r | 4967 | 8.0% |
| A | 3048 | 4.9% |
| e | 2991 | 4.8% |
| s | 2954 | 4.8% |
| t | 2016 | 3.3% |
| C | 2015 | 3.3% |
| g | 2013 | 3.3% |
| Other values (13) | 15932 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 61925 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| a | 11968 | |
| i | 8035 | |
| n | 5986 | 9.7% |
| r | 4967 | 8.0% |
| A | 3048 | 4.9% |
| e | 2991 | 4.8% |
| s | 2954 | 4.8% |
| t | 2016 | 3.3% |
| C | 2015 | 3.3% |
| g | 2013 | 3.3% |
| Other values (13) | 15932 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 61925 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| a | 11968 | |
| i | 8035 | |
| n | 5986 | 9.7% |
| r | 4967 | 8.0% |
| A | 3048 | 4.9% |
| e | 2991 | 4.8% |
| s | 2954 | 4.8% |
| t | 2016 | 3.3% |
| C | 2015 | 3.3% |
| g | 2013 | 3.3% |
| Other values (13) | 15932 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 61925 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| a | 11968 | |
| i | 8035 | |
| n | 5986 | 9.7% |
| r | 4967 | 8.0% |
| A | 3048 | 4.9% |
| e | 2991 | 4.8% |
| s | 2954 | 4.8% |
| t | 2016 | 3.3% |
| C | 2015 | 3.3% |
| g | 2013 | 3.3% |
| Other values (13) | 15932 |
Region
Categorical
High correlation
| Distinct | 34 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 78.2 KiB |
| South | |
|---|---|
| Northeast | |
| North | 524 |
| Central | 466 |
| Punjab | 288 |
| Other values (29) |
Length
| Max length | 26 |
|---|---|
| Median length | 16 |
| Mean length | 9.2447 |
| Min length | 4 |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | West Bengal |
|---|---|
| 2nd row | North |
| 3rd row | Ile-de-France |
| 4th row | Prairies |
| 5th row | Tamil Nadu |
Common Values
| Value | Count | Frequency (%) |
| South | 754 | 7.5% |
| Northeast | 752 | 7.5% |
| North | 524 | 5.2% |
| Central | 466 | 4.7% |
| Punjab | 288 | 2.9% |
| Victoria | 283 | 2.8% |
| New South Wales | 276 | 2.8% |
| East | 273 | 2.7% |
| South West | 270 | 2.7% |
| Ontario | 269 | 2.7% |
| Other values (24) | 5845 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| south | 1560 | 12.0% |
| west | 1058 | 8.1% |
| north | 1023 | 7.8% |
| northeast | 752 | 5.8% |
| central | 701 | 5.4% |
| east | 533 | 4.1% |
| punjab | 288 | 2.2% |
| victoria | 283 | 2.2% |
| new | 276 | 2.1% |
| wales | 276 | 2.1% |
| Other values (26) | 6299 |
Most occurring characters
| Value | Count | Frequency (%) |
| t | 10464 | 11.3% |
| e | 8806 | 9.5% |
| a | 8592 | 9.3% |
| r | 6547 | 7.1% |
| o | 6056 | 6.6% |
| s | 5678 | 6.1% |
| h | 4712 | 5.1% |
| i | 4014 | 4.3% |
| u | 4001 | 4.3% |
| n | 3951 | 4.3% |
| Other values (31) | 29626 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 92447 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| t | 10464 | 11.3% |
| e | 8806 | 9.5% |
| a | 8592 | 9.3% |
| r | 6547 | 7.1% |
| o | 6056 | 6.6% |
| s | 5678 | 6.1% |
| h | 4712 | 5.1% |
| i | 4014 | 4.3% |
| u | 4001 | 4.3% |
| n | 3951 | 4.3% |
| Other values (31) | 29626 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 92447 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| t | 10464 | 11.3% |
| e | 8806 | 9.5% |
| a | 8592 | 9.3% |
| r | 6547 | 7.1% |
| o | 6056 | 6.6% |
| s | 5678 | 6.1% |
| h | 4712 | 5.1% |
| i | 4014 | 4.3% |
| u | 4001 | 4.3% |
| n | 3951 | 4.3% |
| Other values (31) | 29626 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 92447 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| t | 10464 | 11.3% |
| e | 8806 | 9.5% |
| a | 8592 | 9.3% |
| r | 6547 | 7.1% |
| o | 6056 | 6.6% |
| s | 5678 | 6.1% |
| h | 4712 | 5.1% |
| i | 4014 | 4.3% |
| u | 4001 | 4.3% |
| n | 3951 | 4.3% |
| Other values (31) | 29626 |
Crop_Type
Categorical
| Distinct | 10 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 78.2 KiB |
| Wheat | |
|---|---|
| Cotton | |
| Vegetables | |
| Corn | |
| Rice | |
| Other values (5) |
Length
| Max length | 10 |
|---|---|
| Median length | 9 |
| Mean length | 6.391 |
| Min length | 4 |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Corn |
|---|---|
| 2nd row | Corn |
| 3rd row | Wheat |
| 4th row | Coffee |
| 5th row | Sugarcane |
Common Values
| Value | Count | Frequency (%) |
| Wheat | 1047 | |
| Cotton | 1044 | |
| Vegetables | 1036 | |
| Corn | 1022 | |
| Rice | 1022 | |
| Sugarcane | 995 | |
| Fruits | 979 | |
| Soybeans | 958 | |
| Barley | 952 | |
| Coffee | 945 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| wheat | 1047 | |
| cotton | 1044 | |
| vegetables | 1036 | |
| corn | 1022 | |
| rice | 1022 | |
| sugarcane | 995 | |
| fruits | 979 | |
| soybeans | 958 | |
| barley | 952 | |
| coffee | 945 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 9972 | |
| a | 5983 | 9.4% |
| t | 5150 | 8.1% |
| o | 5013 | 7.8% |
| n | 4019 | 6.3% |
| r | 3948 | 6.2% |
| C | 3011 | 4.7% |
| s | 2973 | 4.7% |
| g | 2031 | 3.2% |
| c | 2017 | 3.2% |
| Other values (13) | 19793 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 63910 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| e | 9972 | |
| a | 5983 | 9.4% |
| t | 5150 | 8.1% |
| o | 5013 | 7.8% |
| n | 4019 | 6.3% |
| r | 3948 | 6.2% |
| C | 3011 | 4.7% |
| s | 2973 | 4.7% |
| g | 2031 | 3.2% |
| c | 2017 | 3.2% |
| Other values (13) | 19793 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 63910 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| e | 9972 | |
| a | 5983 | 9.4% |
| t | 5150 | 8.1% |
| o | 5013 | 7.8% |
| n | 4019 | 6.3% |
| r | 3948 | 6.2% |
| C | 3011 | 4.7% |
| s | 2973 | 4.7% |
| g | 2031 | 3.2% |
| c | 2017 | 3.2% |
| Other values (13) | 19793 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 63910 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| e | 9972 | |
| a | 5983 | 9.4% |
| t | 5150 | 8.1% |
| o | 5013 | 7.8% |
| n | 4019 | 6.3% |
| r | 3948 | 6.2% |
| C | 3011 | 4.7% |
| s | 2973 | 4.7% |
| g | 2031 | 3.2% |
| c | 2017 | 3.2% |
| Other values (13) | 19793 |
Average_Temperature_C
Real number (ℝ)
| Distinct | 3677 |
|---|---|
| Distinct (%) | 36.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 15.241299 |
| Minimum | -4.99 |
|---|---|
| Maximum | 35 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 1185 |
| Negative (%) | 11.8% |
| Memory size | 78.2 KiB |
Quantile statistics
| Minimum | -4.99 |
|---|---|
| 5-th percentile | -2.8105 |
| Q1 | 5.43 |
| median | 15.175 |
| Q3 | 25.34 |
| 95-th percentile | 32.9605 |
| Maximum | 35 |
| Range | 39.99 |
| Interquartile range (IQR) | 19.91 |
Descriptive statistics
| Standard deviation | 11.466955 |
|---|---|
| Coefficient of variation (CV) | 0.75236071 |
| Kurtosis | -1.1906732 |
| Mean | 15.241299 |
| Median Absolute Deviation (MAD) | 9.98 |
| Skewness | -0.011513118 |
| Sum | 152412.99 |
| Variance | 131.49105 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 3.41 | 9 | 0.1% |
| 33.19 | 9 | 0.1% |
| 20.35 | 9 | 0.1% |
| 18.13 | 8 | 0.1% |
| 0.15 | 8 | 0.1% |
| 3.27 | 8 | 0.1% |
| 25.43 | 8 | 0.1% |
| 15.09 | 8 | 0.1% |
| 11.75 | 8 | 0.1% |
| 31.89 | 8 | 0.1% |
| Other values (3667) | 9917 |
| Value | Count | Frequency (%) |
| -4.99 | 1 | < 0.1% |
| -4.98 | 5 | |
| -4.97 | 2 | < 0.1% |
| -4.96 | 1 | < 0.1% |
| -4.95 | 2 | < 0.1% |
| -4.94 | 2 | < 0.1% |
| -4.93 | 2 | < 0.1% |
| -4.92 | 1 | < 0.1% |
| -4.91 | 3 | |
| -4.9 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 35 | 1 | < 0.1% |
| 34.99 | 2 | < 0.1% |
| 34.98 | 4 | |
| 34.97 | 4 | |
| 34.94 | 1 | < 0.1% |
| 34.93 | 1 | < 0.1% |
| 34.92 | 3 | |
| 34.91 | 1 | < 0.1% |
| 34.9 | 2 | < 0.1% |
| 34.89 | 5 |
Total_Precipitation_mm
Real number (ℝ)
| Distinct | 9784 |
|---|---|
| Distinct (%) | 97.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1611.6638 |
| Minimum | 200.15 |
|---|---|
| Maximum | 2999.67 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.2 KiB |
Quantile statistics
| Minimum | 200.15 |
|---|---|
| 5-th percentile | 348.866 |
| Q1 | 925.6975 |
| median | 1611.16 |
| Q3 | 2306.9975 |
| 95-th percentile | 2870.141 |
| Maximum | 2999.67 |
| Range | 2799.52 |
| Interquartile range (IQR) | 1381.3 |
Descriptive statistics
| Standard deviation | 805.01681 |
|---|---|
| Coefficient of variation (CV) | 0.49949425 |
| Kurtosis | -1.1876259 |
| Mean | 1611.6638 |
| Median Absolute Deviation (MAD) | 690.56 |
| Skewness | -0.006013876 |
| Sum | 16116638 |
| Variance | 648052.07 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1377.47 | 3 | < 0.1% |
| 2624.98 | 2 | < 0.1% |
| 2642.21 | 2 | < 0.1% |
| 2855.34 | 2 | < 0.1% |
| 679.97 | 2 | < 0.1% |
| 1505.05 | 2 | < 0.1% |
| 984.19 | 2 | < 0.1% |
| 1972.87 | 2 | < 0.1% |
| 2909.45 | 2 | < 0.1% |
| 865.03 | 2 | < 0.1% |
| Other values (9774) | 9979 |
| Value | Count | Frequency (%) |
| 200.15 | 1 | |
| 200.17 | 1 | |
| 200.44 | 1 | |
| 200.45 | 1 | |
| 200.46 | 1 | |
| 201.27 | 1 | |
| 201.64 | 1 | |
| 202.45 | 1 | |
| 202.76 | 1 | |
| 202.81 | 1 |
| Value | Count | Frequency (%) |
| 2999.67 | 1 | |
| 2999.19 | 1 | |
| 2999.1 | 1 | |
| 2998.88 | 1 | |
| 2998.72 | 1 | |
| 2998.61 | 1 | |
| 2998.47 | 1 | |
| 2998.24 | 1 | |
| 2998.22 | 1 | |
| 2997.84 | 1 |
CO2_Emissions_MT
Real number (ℝ)
| Distinct | 2852 |
|---|---|
| Distinct (%) | 28.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 15.246608 |
| Minimum | 0.5 |
|---|---|
| Maximum | 30 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.2 KiB |
Quantile statistics
| Minimum | 0.5 |
|---|---|
| 5-th percentile | 1.95 |
| Q1 | 7.76 |
| median | 15.2 |
| Q3 | 22.82 |
| 95-th percentile | 28.6 |
| Maximum | 30 |
| Range | 29.5 |
| Interquartile range (IQR) | 15.06 |
Descriptive statistics
| Standard deviation | 8.5894229 |
|---|---|
| Coefficient of variation (CV) | 0.56336615 |
| Kurtosis | -1.2097611 |
| Mean | 15.246608 |
| Median Absolute Deviation (MAD) | 7.53 |
| Skewness | 0.0099345449 |
| Sum | 152466.08 |
| Variance | 73.778186 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 25.23 | 11 | 0.1% |
| 5.34 | 10 | 0.1% |
| 27.77 | 10 | 0.1% |
| 17.71 | 10 | 0.1% |
| 19.85 | 10 | 0.1% |
| 22.76 | 10 | 0.1% |
| 1.06 | 10 | 0.1% |
| 1.14 | 10 | 0.1% |
| 4.89 | 10 | 0.1% |
| 11.81 | 10 | 0.1% |
| Other values (2842) | 9899 |
| Value | Count | Frequency (%) |
| 0.5 | 2 | |
| 0.51 | 4 | |
| 0.52 | 4 | |
| 0.53 | 4 | |
| 0.54 | 2 | |
| 0.55 | 4 | |
| 0.56 | 3 | |
| 0.57 | 2 | |
| 0.58 | 1 | < 0.1% |
| 0.59 | 3 |
| Value | Count | Frequency (%) |
| 30 | 2 | < 0.1% |
| 29.99 | 1 | < 0.1% |
| 29.98 | 5 | |
| 29.97 | 8 | |
| 29.96 | 3 | < 0.1% |
| 29.95 | 4 | |
| 29.94 | 4 | |
| 29.93 | 5 | |
| 29.92 | 3 | < 0.1% |
| 29.91 | 4 |
Crop_Yield_MT_per_HA
Real number (ℝ)
High correlation
| Distinct | 850 |
|---|---|
| Distinct (%) | 8.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.2400169 |
| Minimum | 0.45 |
|---|---|
| Maximum | 5 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.2 KiB |
Quantile statistics
| Minimum | 0.45 |
|---|---|
| 5-th percentile | 0.765 |
| Q1 | 1.449 |
| median | 2.17 |
| Q3 | 2.93 |
| 95-th percentile | 4 |
| Maximum | 5 |
| Range | 4.55 |
| Interquartile range (IQR) | 1.481 |
Descriptive statistics
| Standard deviation | 0.99834152 |
|---|---|
| Coefficient of variation (CV) | 0.44568481 |
| Kurtosis | -0.5657602 |
| Mean | 2.2400169 |
| Median Absolute Deviation (MAD) | 0.739 |
| Skewness | 0.35731073 |
| Sum | 22400.169 |
| Variance | 0.99668578 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1.53 | 44 | 0.4% |
| 2.16 | 39 | 0.4% |
| 1.8 | 37 | 0.4% |
| 2.52 | 36 | 0.4% |
| 0.9 | 36 | 0.4% |
| 1.98 | 36 | 0.4% |
| 2.97 | 35 | 0.4% |
| 2.43 | 35 | 0.4% |
| 2.7 | 34 | 0.3% |
| 1.845 | 33 | 0.3% |
| Other values (840) | 9635 |
| Value | Count | Frequency (%) |
| 0.45 | 5 | |
| 0.459 | 5 | |
| 0.468 | 7 | |
| 0.477 | 7 | |
| 0.486 | 7 | |
| 0.5 | 1 | < 0.1% |
| 0.504 | 7 | |
| 0.51 | 5 | |
| 0.513 | 5 | |
| 0.52 | 4 |
| Value | Count | Frequency (%) |
| 5 | 2 | < 0.1% |
| 4.99 | 3 | |
| 4.98 | 1 | < 0.1% |
| 4.97 | 5 | |
| 4.96 | 4 | |
| 4.95 | 5 | |
| 4.94 | 4 | |
| 4.92 | 2 | < 0.1% |
| 4.91 | 2 | < 0.1% |
| 4.9 | 3 |
Extreme_Weather_Events
Real number (ℝ)
Zeros
| Distinct | 11 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.9809 |
| Minimum | 0 |
|---|---|
| Maximum | 10 |
| Zeros | 899 |
| Zeros (%) | 9.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 2 |
| median | 5 |
| Q3 | 8 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 10 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 3.1658075 |
|---|---|
| Coefficient of variation (CV) | 0.63558946 |
| Kurtosis | -1.223471 |
| Mean | 4.9809 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 0.011542808 |
| Sum | 49809 |
| Variance | 10.022337 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| 1 | 957 | |
| 6 | 929 | |
| 9 | 917 | |
| 3 | 915 | |
| 5 | 914 | |
| 10 | 908 | |
| 2 | 899 | |
| 0 | 899 | |
| 4 | 895 | |
| 7 | 884 |
| Value | Count | Frequency (%) |
| 0 | 899 | |
| 1 | 957 | |
| 2 | 899 | |
| 3 | 915 | |
| 4 | 895 | |
| 5 | 914 | |
| 6 | 929 | |
| 7 | 884 | |
| 8 | 883 | |
| 9 | 917 |
| Value | Count | Frequency (%) |
| 10 | 908 | |
| 9 | 917 | |
| 8 | 883 | |
| 7 | 884 | |
| 6 | 929 | |
| 5 | 914 | |
| 4 | 895 | |
| 3 | 915 | |
| 2 | 899 | |
| 1 | 957 |
Irrigation_Access_%
Real number (ℝ)
| Distinct | 6003 |
|---|---|
| Distinct (%) | 60.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 55.248332 |
| Minimum | 10.01 |
|---|---|
| Maximum | 99.99 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.2 KiB |
Quantile statistics
| Minimum | 10.01 |
|---|---|
| 5-th percentile | 14.69 |
| Q1 | 32.6775 |
| median | 55.175 |
| Q3 | 77.5825 |
| 95-th percentile | 95.5705 |
| Maximum | 99.99 |
| Range | 89.98 |
| Interquartile range (IQR) | 44.905 |
Descriptive statistics
| Standard deviation | 25.988305 |
|---|---|
| Coefficient of variation (CV) | 0.47039076 |
| Kurtosis | -1.1992482 |
| Mean | 55.248332 |
| Median Absolute Deviation (MAD) | 22.445 |
| Skewness | -0.0086593929 |
| Sum | 552483.32 |
| Variance | 675.39198 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 79.29 | 7 | 0.1% |
| 74.86 | 6 | 0.1% |
| 19.24 | 6 | 0.1% |
| 98.54 | 6 | 0.1% |
| 80.44 | 6 | 0.1% |
| 88.8 | 6 | 0.1% |
| 95.29 | 6 | 0.1% |
| 97.42 | 6 | 0.1% |
| 52.43 | 6 | 0.1% |
| 50.79 | 6 | 0.1% |
| Other values (5993) | 9939 |
| Value | Count | Frequency (%) |
| 10.01 | 3 | |
| 10.04 | 1 | < 0.1% |
| 10.05 | 1 | < 0.1% |
| 10.06 | 3 | |
| 10.07 | 5 | |
| 10.1 | 1 | < 0.1% |
| 10.11 | 1 | < 0.1% |
| 10.12 | 1 | < 0.1% |
| 10.13 | 2 | < 0.1% |
| 10.16 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 99.99 | 1 | < 0.1% |
| 99.98 | 2 | |
| 99.97 | 2 | |
| 99.95 | 3 | |
| 99.94 | 2 | |
| 99.91 | 1 | < 0.1% |
| 99.9 | 1 | < 0.1% |
| 99.88 | 2 | |
| 99.87 | 2 | |
| 99.86 | 1 | < 0.1% |
Pesticide_Use_KG_per_HA
Real number (ℝ)
| Distinct | 4343 |
|---|---|
| Distinct (%) | 43.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 24.955735 |
| Minimum | 0 |
|---|---|
| Maximum | 49.99 |
| Zeros | 2 |
| Zeros (%) | < 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2.37 |
| Q1 | 12.5275 |
| median | 24.93 |
| Q3 | 37.47 |
| 95-th percentile | 47.4905 |
| Maximum | 49.99 |
| Range | 49.99 |
| Interquartile range (IQR) | 24.9425 |
Descriptive statistics
| Standard deviation | 14.490962 |
|---|---|
| Coefficient of variation (CV) | 0.58066662 |
| Kurtosis | -1.2062211 |
| Mean | 24.955735 |
| Median Absolute Deviation (MAD) | 12.5 |
| Skewness | -0.001523802 |
| Sum | 249557.35 |
| Variance | 209.98799 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 37.76 | 8 | 0.1% |
| 44.69 | 8 | 0.1% |
| 0.72 | 8 | 0.1% |
| 2.78 | 8 | 0.1% |
| 5.82 | 8 | 0.1% |
| 3.61 | 8 | 0.1% |
| 44.62 | 7 | 0.1% |
| 20.73 | 7 | 0.1% |
| 44.58 | 7 | 0.1% |
| 17.24 | 7 | 0.1% |
| Other values (4333) | 9924 |
| Value | Count | Frequency (%) |
| 0 | 2 | < 0.1% |
| 0.03 | 4 | |
| 0.04 | 2 | < 0.1% |
| 0.05 | 1 | < 0.1% |
| 0.06 | 1 | < 0.1% |
| 0.07 | 5 | |
| 0.08 | 5 | |
| 0.09 | 1 | < 0.1% |
| 0.1 | 3 | |
| 0.11 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 49.99 | 3 | |
| 49.96 | 1 | < 0.1% |
| 49.95 | 3 | |
| 49.94 | 2 | |
| 49.93 | 1 | < 0.1% |
| 49.91 | 1 | < 0.1% |
| 49.9 | 1 | < 0.1% |
| 49.89 | 3 | |
| 49.88 | 2 | |
| 49.87 | 3 |
Fertilizer_Use_KG_per_HA
Real number (ℝ)
| Distinct | 6314 |
|---|---|
| Distinct (%) | 63.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 49.973708 |
| Minimum | 0.01 |
|---|---|
| Maximum | 99.99 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.2 KiB |
Quantile statistics
| Minimum | 0.01 |
|---|---|
| 5-th percentile | 5.359 |
| Q1 | 25.39 |
| median | 49.635 |
| Q3 | 74.825 |
| 95-th percentile | 94.7925 |
| Maximum | 99.99 |
| Range | 99.98 |
| Interquartile range (IQR) | 49.435 |
Descriptive statistics
| Standard deviation | 28.711027 |
|---|---|
| Coefficient of variation (CV) | 0.57452265 |
| Kurtosis | -1.1939141 |
| Mean | 49.973708 |
| Median Absolute Deviation (MAD) | 24.72 |
| Skewness | 0.013391105 |
| Sum | 499737.08 |
| Variance | 824.32307 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 6.07 | 6 | 0.1% |
| 77.99 | 6 | 0.1% |
| 93.14 | 6 | 0.1% |
| 65.33 | 6 | 0.1% |
| 72.31 | 6 | 0.1% |
| 93.93 | 6 | 0.1% |
| 94.79 | 5 | 0.1% |
| 86.47 | 5 | 0.1% |
| 95.99 | 5 | 0.1% |
| 57.22 | 5 | 0.1% |
| Other values (6304) | 9944 |
| Value | Count | Frequency (%) |
| 0.01 | 1 | |
| 0.03 | 1 | |
| 0.05 | 1 | |
| 0.07 | 1 | |
| 0.08 | 1 | |
| 0.09 | 1 | |
| 0.1 | 1 | |
| 0.12 | 1 | |
| 0.14 | 1 | |
| 0.15 | 2 |
| Value | Count | Frequency (%) |
| 99.99 | 1 | |
| 99.98 | 1 | |
| 99.97 | 2 | |
| 99.91 | 1 | |
| 99.9 | 1 | |
| 99.89 | 2 | |
| 99.88 | 2 | |
| 99.87 | 1 | |
| 99.86 | 2 | |
| 99.85 | 2 |
Soil_Health_Index
Real number (ℝ)
| Distinct | 5318 |
|---|---|
| Distinct (%) | 53.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 64.901278 |
| Minimum | 30 |
|---|---|
| Maximum | 100 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.2 KiB |
Quantile statistics
| Minimum | 30 |
|---|---|
| 5-th percentile | 33.58 |
| Q1 | 47.235 |
| median | 64.65 |
| Q3 | 82.4725 |
| 95-th percentile | 96.59 |
| Maximum | 100 |
| Range | 70 |
| Interquartile range (IQR) | 35.2375 |
Descriptive statistics
| Standard deviation | 20.195882 |
|---|---|
| Coefficient of variation (CV) | 0.3111785 |
| Kurtosis | -1.1959077 |
| Mean | 64.901278 |
| Median Absolute Deviation (MAD) | 17.62 |
| Skewness | 0.01119563 |
| Sum | 649012.78 |
| Variance | 407.87366 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 79.38 | 8 | 0.1% |
| 63.03 | 7 | 0.1% |
| 64.29 | 6 | 0.1% |
| 63.62 | 6 | 0.1% |
| 31.44 | 6 | 0.1% |
| 98.05 | 6 | 0.1% |
| 84.32 | 6 | 0.1% |
| 98.97 | 6 | 0.1% |
| 97.38 | 6 | 0.1% |
| 61.44 | 6 | 0.1% |
| Other values (5308) | 9937 |
| Value | Count | Frequency (%) |
| 30 | 1 | |
| 30.02 | 1 | |
| 30.03 | 1 | |
| 30.04 | 2 | |
| 30.05 | 1 | |
| 30.06 | 2 | |
| 30.07 | 2 | |
| 30.08 | 1 | |
| 30.09 | 1 | |
| 30.1 | 2 |
| Value | Count | Frequency (%) |
| 100 | 1 | < 0.1% |
| 99.99 | 1 | < 0.1% |
| 99.98 | 4 | |
| 99.97 | 2 | |
| 99.96 | 2 | |
| 99.95 | 2 | |
| 99.94 | 3 | |
| 99.92 | 2 | |
| 99.9 | 1 | < 0.1% |
| 99.89 | 1 | < 0.1% |
Adaptation_Strategies
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 78.2 KiB |
| Water Management | |
|---|---|
| No Adaptation | |
| Drought-resistant Crops | |
| Organic Farming | |
| Crop Rotation |
Length
| Max length | 23 |
|---|---|
| Median length | 16 |
| Mean length | 16.0047 |
| Min length | 13 |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Water Management |
|---|---|
| 2nd row | Crop Rotation |
| 3rd row | Water Management |
| 4th row | No Adaptation |
| 5th row | Crop Rotation |
Common Values
| Value | Count | Frequency (%) |
| Water Management | 2049 | |
| No Adaptation | 2024 | |
| Drought-resistant Crops | 1995 | |
| Organic Farming | 1975 | |
| Crop Rotation | 1957 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| water | 2049 | |
| management | 2049 | |
| no | 2024 | |
| adaptation | 2024 | |
| drought-resistant | 1995 | |
| crops | 1995 | |
| organic | 1975 | |
| farming | 1975 | |
| crop | 1957 | |
| rotation | 1957 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 18097 | |
| t | 18045 | |
| n | 14024 | 8.8% |
| r | 13941 | 8.7% |
| o | 13909 | 8.7% |
| 10000 | 6.2% | |
| i | 9926 | 6.2% |
| e | 8142 | 5.1% |
| g | 7994 | 5.0% |
| s | 5985 | 3.7% |
| Other values (16) | 39984 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 160047 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| a | 18097 | |
| t | 18045 | |
| n | 14024 | 8.8% |
| r | 13941 | 8.7% |
| o | 13909 | 8.7% |
| 10000 | 6.2% | |
| i | 9926 | 6.2% |
| e | 8142 | 5.1% |
| g | 7994 | 5.0% |
| s | 5985 | 3.7% |
| Other values (16) | 39984 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 160047 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| a | 18097 | |
| t | 18045 | |
| n | 14024 | 8.8% |
| r | 13941 | 8.7% |
| o | 13909 | 8.7% |
| 10000 | 6.2% | |
| i | 9926 | 6.2% |
| e | 8142 | 5.1% |
| g | 7994 | 5.0% |
| s | 5985 | 3.7% |
| Other values (16) | 39984 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 160047 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| a | 18097 | |
| t | 18045 | |
| n | 14024 | 8.8% |
| r | 13941 | 8.7% |
| o | 13909 | 8.7% |
| 10000 | 6.2% | |
| i | 9926 | 6.2% |
| e | 8142 | 5.1% |
| g | 7994 | 5.0% |
| s | 5985 | 3.7% |
| Other values (16) | 39984 |
Economic_Impact_Million_USD
Real number (ℝ)
High correlation
| Distinct | 9631 |
|---|---|
| Distinct (%) | 96.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 674.26966 |
| Minimum | 47.84 |
|---|---|
| Maximum | 2346.47 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.2 KiB |
Quantile statistics
| Minimum | 47.84 |
|---|---|
| 5-th percentile | 169.627 |
| Q1 | 350.545 |
| median | 583.92 |
| Q3 | 917.505 |
| 95-th percentile | 1486.191 |
| Maximum | 2346.47 |
| Range | 2298.63 |
| Interquartile range (IQR) | 566.96 |
Descriptive statistics
| Standard deviation | 414.59143 |
|---|---|
| Coefficient of variation (CV) | 0.61487482 |
| Kurtosis | 0.58777117 |
| Mean | 674.26966 |
| Median Absolute Deviation (MAD) | 267.37 |
| Skewness | 0.96177136 |
| Sum | 6742696.6 |
| Variance | 171886.05 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 616.6 | 4 | < 0.1% |
| 1012.69 | 3 | < 0.1% |
| 447.71 | 3 | < 0.1% |
| 227.76 | 3 | < 0.1% |
| 643.72 | 3 | < 0.1% |
| 270.4 | 3 | < 0.1% |
| 254.47 | 3 | < 0.1% |
| 323.32 | 3 | < 0.1% |
| 304.07 | 3 | < 0.1% |
| 396.57 | 2 | < 0.1% |
| Other values (9621) | 9970 |
| Value | Count | Frequency (%) |
| 47.84 | 1 | |
| 53.76 | 1 | |
| 56.37 | 1 | |
| 59.17 | 1 | |
| 59.35 | 1 | |
| 59.44 | 1 | |
| 60.23 | 1 | |
| 60.64 | 1 | |
| 60.86 | 1 | |
| 61.79 | 1 |
| Value | Count | Frequency (%) |
| 2346.47 | 1 | |
| 2312.29 | 1 | |
| 2300 | 1 | |
| 2285.25 | 1 | |
| 2272.63 | 1 | |
| 2270.28 | 1 | |
| 2263.98 | 1 | |
| 2218.28 | 1 | |
| 2217.78 | 1 | |
| 2200.79 | 1 |
Interactions
Correlations
| Adaptation_Strategies | Average_Temperature_C | CO2_Emissions_MT | Country | Crop_Type | Crop_Yield_MT_per_HA | Economic_Impact_Million_USD | Extreme_Weather_Events | Fertilizer_Use_KG_per_HA | Irrigation_Access_% | Pesticide_Use_KG_per_HA | Region | Soil_Health_Index | Total_Precipitation_mm | Year | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Adaptation_Strategies | 1.000 | 0.000 | 0.000 | 0.000 | 0.015 | 0.000 | 0.000 | 0.000 | 0.012 | 0.000 | 0.000 | 0.006 | 0.000 | 0.015 | 0.016 |
| Average_Temperature_C | 0.000 | 1.000 | -0.003 | 0.000 | 0.000 | 0.277 | 0.206 | -0.017 | -0.014 | -0.013 | 0.006 | 0.000 | -0.011 | 0.008 | -0.005 |
| CO2_Emissions_MT | 0.000 | -0.003 | 1.000 | 0.000 | 0.000 | -0.082 | -0.059 | 0.001 | -0.020 | 0.003 | 0.015 | 0.007 | 0.004 | -0.009 | -0.005 |
| Country | 0.000 | 0.000 | 0.000 | 1.000 | 0.013 | 0.000 | 0.009 | 0.009 | 0.000 | 0.010 | 0.000 | 0.911 | 0.000 | 0.016 | 0.004 |
| Crop_Type | 0.015 | 0.000 | 0.000 | 0.013 | 1.000 | 0.000 | 0.014 | 0.005 | 0.003 | 0.012 | 0.007 | 0.024 | 0.010 | 0.000 | 0.000 |
| Crop_Yield_MT_per_HA | 0.000 | 0.277 | -0.082 | 0.000 | 0.000 | 1.000 | 0.734 | -0.007 | 0.007 | -0.001 | -0.005 | 0.009 | -0.007 | 0.028 | 0.008 |
| Economic_Impact_Million_USD | 0.000 | 0.206 | -0.059 | 0.009 | 0.014 | 0.734 | 1.000 | -0.007 | 0.010 | 0.004 | -0.009 | 0.000 | -0.007 | 0.019 | 0.007 |
| Extreme_Weather_Events | 0.000 | -0.017 | 0.001 | 0.009 | 0.005 | -0.007 | -0.007 | 1.000 | 0.015 | -0.012 | 0.010 | 0.010 | 0.016 | 0.005 | -0.003 |
| Fertilizer_Use_KG_per_HA | 0.012 | -0.014 | -0.020 | 0.000 | 0.003 | 0.007 | 0.010 | 0.015 | 1.000 | 0.008 | -0.015 | 0.006 | -0.000 | -0.026 | 0.013 |
| Irrigation_Access_% | 0.000 | -0.013 | 0.003 | 0.010 | 0.012 | -0.001 | 0.004 | -0.012 | 0.008 | 1.000 | -0.005 | 0.000 | 0.002 | -0.008 | 0.001 |
| Pesticide_Use_KG_per_HA | 0.000 | 0.006 | 0.015 | 0.000 | 0.007 | -0.005 | -0.009 | 0.010 | -0.015 | -0.005 | 1.000 | 0.009 | 0.013 | 0.011 | -0.004 |
| Region | 0.006 | 0.000 | 0.007 | 0.911 | 0.024 | 0.009 | 0.000 | 0.010 | 0.006 | 0.000 | 0.009 | 1.000 | 0.015 | 0.000 | 0.013 |
| Soil_Health_Index | 0.000 | -0.011 | 0.004 | 0.000 | 0.010 | -0.007 | -0.007 | 0.016 | -0.000 | 0.002 | 0.013 | 0.015 | 1.000 | -0.022 | -0.007 |
| Total_Precipitation_mm | 0.015 | 0.008 | -0.009 | 0.016 | 0.000 | 0.028 | 0.019 | 0.005 | -0.026 | -0.008 | 0.011 | 0.000 | -0.022 | 1.000 | 0.007 |
| Year | 0.016 | -0.005 | -0.005 | 0.004 | 0.000 | 0.008 | 0.007 | -0.003 | 0.013 | 0.001 | -0.004 | 0.013 | -0.007 | 0.007 | 1.000 |
Missing values
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
Sample
| Year | Country | Region | Crop_Type | Average_Temperature_C | Total_Precipitation_mm | CO2_Emissions_MT | Crop_Yield_MT_per_HA | Extreme_Weather_Events | Irrigation_Access_% | Pesticide_Use_KG_per_HA | Fertilizer_Use_KG_per_HA | Soil_Health_Index | Adaptation_Strategies | Economic_Impact_Million_USD | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 2001 | India | West Bengal | Corn | 1.55 | 447.06 | 15.22 | 1.737 | 8 | 14.54 | 10.08 | 14.78 | 83.25 | Water Management | 808.13 |
| 1 | 2024 | China | North | Corn | 3.23 | 2913.57 | 29.82 | 1.737 | 8 | 11.05 | 33.06 | 23.25 | 54.02 | Crop Rotation | 616.22 |
| 2 | 2001 | France | Ile-de-France | Wheat | 21.11 | 1301.74 | 25.75 | 1.719 | 5 | 84.42 | 27.41 | 65.53 | 67.78 | Water Management | 796.96 |
| 3 | 2001 | Canada | Prairies | Coffee | 27.85 | 1154.36 | 13.91 | 3.890 | 5 | 94.06 | 14.38 | 87.58 | 91.39 | No Adaptation | 790.32 |
| 4 | 1998 | India | Tamil Nadu | Sugarcane | 2.19 | 1627.48 | 11.81 | 1.080 | 9 | 95.75 | 44.35 | 88.08 | 49.61 | Crop Rotation | 401.72 |
| 5 | 2019 | USA | Midwest | Coffee | 17.19 | 975.13 | 10.73 | 2.180 | 5 | 52.45 | 26.06 | 71.56 | 97.32 | Water Management | 353.16 |
| 6 | 1997 | Argentina | Northeast | Fruits | 23.46 | 1816.41 | 27.70 | 1.611 | 2 | 20.22 | 0.56 | 28.72 | 79.09 | Organic Farming | 480.61 |
| 7 | 2021 | Australia | New South Wales | Rice | 25.63 | 786.17 | 7.77 | 3.270 | 4 | 66.53 | 13.44 | 40.50 | 63.16 | Drought-resistant Crops | 1367.97 |
| 8 | 2012 | India | Punjab | Wheat | 32.08 | 1233.10 | 6.10 | 2.990 | 1 | 45.87 | 10.09 | 32.54 | 42.31 | Water Management | 761.89 |
| 9 | 2018 | Nigeria | North West | Barley | 21.23 | 475.32 | 25.74 | 0.765 | 1 | 25.74 | 44.38 | 72.92 | 84.21 | No Adaptation | 167.21 |
| Year | Country | Region | Crop_Type | Average_Temperature_C | Total_Precipitation_mm | CO2_Emissions_MT | Crop_Yield_MT_per_HA | Extreme_Weather_Events | Irrigation_Access_% | Pesticide_Use_KG_per_HA | Fertilizer_Use_KG_per_HA | Soil_Health_Index | Adaptation_Strategies | Economic_Impact_Million_USD | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9990 | 2004 | China | Central | Rice | 16.17 | 2571.78 | 1.56 | 4.530 | 8 | 83.76 | 6.40 | 54.79 | 44.81 | No Adaptation | 981.05 |
| 9991 | 2016 | China | East | Barley | -3.44 | 2997.57 | 20.18 | 1.197 | 6 | 99.98 | 30.65 | 87.87 | 55.42 | Drought-resistant Crops | 181.28 |
| 9992 | 1995 | France | Grand Est | Soybeans | 3.82 | 762.69 | 9.13 | 1.100 | 9 | 89.83 | 3.42 | 59.99 | 88.75 | Organic Farming | 227.30 |
| 9993 | 1990 | France | Ile-de-France | Coffee | 16.52 | 2102.28 | 16.42 | 2.448 | 0 | 51.34 | 44.54 | 79.02 | 91.99 | No Adaptation | 523.60 |
| 9994 | 2011 | China | North | Coffee | 15.26 | 2770.64 | 13.65 | 3.010 | 6 | 85.45 | 43.00 | 5.64 | 95.09 | Water Management | 1047.69 |
| 9995 | 2022 | France | Nouvelle-Aquitaine | Cotton | 30.48 | 685.93 | 17.64 | 3.033 | 9 | 27.56 | 41.96 | 10.95 | 43.41 | No Adaptation | 1483.06 |
| 9996 | 1999 | Australia | Queensland | Soybeans | 9.53 | 2560.38 | 10.68 | 2.560 | 4 | 77.02 | 5.45 | 82.32 | 59.39 | No Adaptation | 829.61 |
| 9997 | 2000 | Argentina | Patagonia | Coffee | 31.92 | 357.76 | 26.01 | 1.161 | 10 | 78.53 | 11.94 | 26.00 | 41.46 | Water Management | 155.99 |
| 9998 | 1996 | Brazil | Southeast | Soybeans | 13.95 | 1549.52 | 17.31 | 3.348 | 2 | 42.65 | 44.71 | 25.07 | 75.10 | Crop Rotation | 1613.90 |
| 9999 | 2015 | China | South | Corn | 11.78 | 1676.25 | 5.34 | 3.710 | 5 | 46.41 | 48.28 | 98.27 | 59.38 | Water Management | 453.14 |